### 3. Access OpenLIT Platform Dashboard

Once your LLM application is instrumented, you can explore the comprehensive observability data in the OpenLIT Platform:

**Access the Dashboard**:
```bash
# Get the external service details
kubectl get svc -n openlit openlit

# For local access via port-forwarding:
kubectl port-forward -n openlit svc/openlit 3000:3000
# Then visit: http://localhost:3000
```

**What You'll See**:
1. **LLM Observability Dashboard**: Comprehensive view of your AI applications including:
   - **Real-time Metrics**: Request rates, latency, and error rates
   - **Cost Tracking**: Token usage and cost breakdown by model and application
   - **Performance Analytics**: Response times, throughput, and model performance
   - **Trace Visualization**: Detailed execution flow with full request/response context
2. **Vector Database Analytics**: Monitor your vector database operations and performance
3. **GPU Monitoring**: Track GPU utilization and performance metrics (if enabled)
4. **Custom Dashboards**: Create tailored views for your specific monitoring needs

Your OpenLIT-instrumented AI applications will appear automatically in the OpenLIT Platform with comprehensive observability including LLM costs, token usage, model performance, distributed tracing, and business intelligence - all in a single, self-hosted platform designed specifically for AI workloads.
